We are looking for someone who can grasp readily and become competent in a fast-paced environment. We value experience in building and maintaining scalable backend infrastructure and if you have expertise in it, you will be managing our deployments and tech infrastructure.
Responsibilities
Design and Implementation: Develop robust solutions for monitoring, metrics infrastructure, and other critical components to support algorithmic trading operations.
Technical Support: Provide direct technical support for handling live trading environments on Linux servers, ensuring smooth and uninterrupted trading activities.
Problem Resolution: Utilize technical and analytical expertise to understand application and business functionality, identifying and resolving issues promptly.
Database: Manage databases and proficiently write SQL queries to perform on-demand analytics, enabling data-driven decision-making.
Application and Network Management: Install new applications, troubleshoot network problems, schedule upgrades, and optimize network performance to maintain a stable trading environment.
Python Infrastructure Management: Oversee Python infrastructure related to airflow, pickles, logs monitoring, and alerting, and address any issues that arise.
Airflow Management: Develop new dags (Python scripts) for airflow, improve existing ones, and enhance overall reliability to streamline trading workflows.
Infrastructure Optimization: Efficiently manage and optimize infrastructure using tools like Ansible, docker, and other automation technologies.
Cross-Team Support: Collaborate with other teams to provide administration and operational assistance for various projects.
Proactive Monitoring: Implement proactive monitoring solutions to detect and address, potential problems and issues before they impact trading activities.
Documentation: Maintain comprehensive documentation of trading systems, procedures, and workflows for reference and training purposes.
Adherence to Regulations: Maintain a comprehensive understanding of global exchange rules and regulations, ensuring full compliance with all relevant legal requirements.
Global Market Trading: Execute trades on the Global Exchange during the night shift, leveraging algorithmic trading strategies to capitalize on trading opportunities and optimize trading performance.
Requirements
Experience and Education: 2-4 years of relevant experience in a DevOps role, with a bachelor's degree in computer science, or a related field.
Requires trading in NSE and multiple markets across the globe.
Good to have: Python Proficiency.
Continuous Integration and Deployment: Comfortable with frequent, incremental code testing and deployment.
Automation and Data Management: Solid grasp of automation and data management tools to streamline trading operations.
Excellent troubleshooting and problem-solving abilities to quickly address technical challenges.
Good communication skills and effective time management to collaborate with teams and handle multiple tasks efficiently.
Ownership and Drive: Takes ownership of tasks and exhibits a proactive attitude.
NISM certification is a plus.
This job was posted by Aaryan Goyal from Kivi Capital.
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